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The University of Arkansas seeks applications for the position of Assistant Professor (R0074417). The Assistant Professor will develop and teach undergraduate and graduate courses and laboratories in the Mechanical Engineering. The successful candidate may be required to teach in Mechanical Engineering Technology program. This is a nine-month, tenure-track position with an estimated start date of January 2026 or until filled. This position is governed by state and federal laws, and agency/institution policy.

Required Qualifications:  PhD in Mechanical Engineering or closely related discipline (Degree must be from an accredited university). ABD may be considered; BS in Mechanical Engineering or Aerospace Engineering; Demonstrated strong English communication skills.

Preferred Qualifications: Prior teaching engineering courses; Experience in teaching in a hybrid or on-line environment; Expertise in engineering software, such as SolidWorks, AutoCAD, Ansys, MATLAB; Post-doctoral or industrial experience; Experience in the use of Artificial Intelligence in research is

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RSS Feed Source: Academic Keys

The University of Arkansas seeks applications for the position of Assistant Professor (R0074414). The Assistant Professor is responsible for teach computer engineering courses in the Electrical and Computer Engineering (ECE) program, graduate courses in MS and Ph.D. programs, mentor undergraduate students on Capstone design projects, supervise thesis and dissertation research of graduate students, and perform scholarship. This is a nine-month, tenure-track position with an estimated start date of January 2026 or until filled. This position is governed by state and federal laws, and agency/institution policy.

Required Qualifications: Ph.D. in Computer Engineering or a related field (degree must be earned from an accredited university by December 31, 2025).

Preferred Qualifications: Prior teaching and industrial experience is desirable; Demonstrated strong English communication skills; Experience in teaching in a hybrid or on-line environment; Experience in the use of Artificial Intelligence in research is preferred.

Application materials must

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RSS Feed Source: Academic Keys

Job ID: 261159

Graduate Research Assistant (PhD Position/Postdoc)
Cleveland State University Job Categories Graduate Student
Academic Fields Aerospace/Aeronautical/Astronautics
Mechanical Engineering

The Multiscale Multiphysics Modeling and Data-Driven Analysis of Thermofluids (M3TFluiD) Lab at Cleveland State University is seeking a highly motivated Research Assistant or Research Associate (postdoctoral) to support a multi-year, federally funded, multidisciplinary project in the area of high-temperature thermal analysis and computational fluid dynamics (CFD). The successful candidate (U.S. Citizen or Permanent Resident only) will contribute to numerical modeling and simulation of advanced thermal systems relevant to next-generation aerospace applications. 

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The U.S. National Science Foundation announced a partnership with NVIDIA to develop a set of artificial intelligence models that will transform the ability of America’s scientists to leverage AI, advancing scientific discovery and ensuring U.S. leadership in AI-powered research and innovation. NSF will contribute $75 million, with NVIDIA providing an additional $77 million, to support the Open Multimodal AI Infrastructure to Accelerate Science (OMAI) project, led by the Allen Institute for AI (Ai2). The collaboration will create a fully open suite of advanced AI models specifically designed to support the U.S. scientific community.

This public-private investment advances priorities set forth in the White House AI Action Plan to accelerate AI-enabled science and ensure the United States is producing the leading open models that enhance America’s global AI dominance.

“Bringing AI into scientific research has been a game changer,” said Brian Stone, performing the duties of the NSF director. “NSF is proud to partner with NVIDIA to equip America’s scientists with the tools to accelerate breakthroughs. These investments are not just about enabling innovation; they are about securing U.S. global leadership in science and technology and tackling challenges once thought impossible.”

The development of AI technologies is advancing rapidly, but the cost of creating and researching powerful AI models has grown beyond the budgets of university labs and federally funded researchers. This growing divide limits the

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